Group based video-conferencing for adults with depression: findings from a user-led qualitative data analysis using participatory theme elicitation.

Participatory analysis Participatory theme elicitation User involvement

Journal

Research involvement and engagement
ISSN: 2056-7529
Titre abrégé: Res Involv Engagem
Pays: England
ID NLM: 101708164

Informations de publication

Date de publication:
2019
Historique:
received: 04 06 2019
accepted: 21 11 2019
entrez: 18 12 2019
pubmed: 18 12 2019
medline: 18 12 2019
Statut: epublish

Résumé

Accessing support services for depression has been historically difficult given the societal stigma that exists regarding the condition. Recent advances in digital technologies continue to be postulated as a potential panacea yet the results from research trials have been mixed with a range of effect sizes. This article offers a different perspective by presenting a panel of end users (co-researchers) with qualitative interview data ( Co-researchers reported that while VC based interventions appeared convenient, accessible and relatively low cost - additional training and support should be offered to improve uptake and retention. In addition, co-researchers suggested that further exploration is needed regarding the level of self-awareness one feels in a group based VC environment and whether this facilitates disclosure (through disinhibition) or increases anxiety. The findings presented here appear to support existing (researcher and academic-led) literature in the field as well as suggest new areas for investigation. By presenting data generated solely by co-researchers, this article also adds to the evidence surrounding participatory analysis methods - particularly the growing need for robust approaches that are accessible and less time-consuming than those currently available. NCT03288506 (Clinicaltrials.gov) 20th Sept 2017 https://clinicaltrials.gov/ct2/show/NCT03288506.

Sections du résumé

BACKGROUND BACKGROUND
Accessing support services for depression has been historically difficult given the societal stigma that exists regarding the condition. Recent advances in digital technologies continue to be postulated as a potential panacea yet the results from research trials have been mixed with a range of effect sizes.
METHODS METHODS
This article offers a different perspective by presenting a panel of end users (co-researchers) with qualitative interview data (
RESULTS RESULTS
Co-researchers reported that while VC based interventions appeared convenient, accessible and relatively low cost - additional training and support should be offered to improve uptake and retention. In addition, co-researchers suggested that further exploration is needed regarding the level of self-awareness one feels in a group based VC environment and whether this facilitates disclosure (through disinhibition) or increases anxiety.
CONCLUSION CONCLUSIONS
The findings presented here appear to support existing (researcher and academic-led) literature in the field as well as suggest new areas for investigation. By presenting data generated solely by co-researchers, this article also adds to the evidence surrounding participatory analysis methods - particularly the growing need for robust approaches that are accessible and less time-consuming than those currently available.
TRIAL REGISTRATION NUMBER BACKGROUND
NCT03288506 (Clinicaltrials.gov) 20th Sept 2017 https://clinicaltrials.gov/ct2/show/NCT03288506.

Identifiants

pubmed: 31844555
doi: 10.1186/s40900-019-0173-z
pii: 173
pmc: PMC6896757
doi:

Banques de données

ClinicalTrials.gov
['NCT03288506']

Types de publication

Journal Article

Langues

eng

Pagination

40

Informations de copyright

© The Author(s). 2019.

Déclaration de conflit d'intérêts

Competing interestsThe Authors declare that there is no conflict of interest.

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Auteurs

Paul Best (P)

1School of Social Sciences Education and Social Work. 6 College Park, Queen's University Belfast, Belfast, UK.
Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Royal Victoria Hospital, Queen's University Belfast, Belfast, UK.
3Centre for Evidence and Social Innovation, Queen's University Belfast, Belfast, UK.

Tracey McConnell (T)

1School of Social Sciences Education and Social Work. 6 College Park, Queen's University Belfast, Belfast, UK.
3Centre for Evidence and Social Innovation, Queen's University Belfast, Belfast, UK.

Gavin Davidson (G)

1School of Social Sciences Education and Social Work. 6 College Park, Queen's University Belfast, Belfast, UK.
3Centre for Evidence and Social Innovation, Queen's University Belfast, Belfast, UK.

Jennifer Badham (J)

Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Royal Victoria Hospital, Queen's University Belfast, Belfast, UK.

Ruth D Neill (RD)

1School of Social Sciences Education and Social Work. 6 College Park, Queen's University Belfast, Belfast, UK.
3Centre for Evidence and Social Innovation, Queen's University Belfast, Belfast, UK.

Classifications MeSH